Muhammad Saqib
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Safety, Risk, Reliability and Quality top 10%
- Ocean Engineering
- Co-authors
- Michael BlumensteinNabin SharmaSultan Daud KhanChin‐Teng LinNaveed AkhtarSaeed AnwarHumza NaveedMuhammad Usman
- Topics
- Video Surveillance and Tracking Methods (9 papers)Anomaly Detection Techniques and Applications (7 papers)Advanced Neural Network Applications (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessBiological Conservation
- Partner nations
- AustraliaPakistanSaudi Arabia
In The Last Decade
Muhammad Saqib
24 papers receiving 407 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 210
- Aerospace Engineering 122
- Artificial Intelligence 114
- Safety, Risk, Reliability and Quality 36
- Ocean Engineering 31
Countries citing papers authored by Muhammad Saqib
This map shows the geographic impact of Muhammad Saqib's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Muhammad Saqib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Saqib more than expected).
Fields of papers citing papers by Muhammad Saqib
This network shows the impact of papers produced by Muhammad Saqib. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Muhammad Saqib. The network helps show where Muhammad Saqib may publish in the future.
Co-authorship network of co-authors of Muhammad Saqib
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Saqib. A scholar is included among the top collaborators of Muhammad Saqib based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muhammad Saqib. Muhammad Saqib is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Comprehensive Overview of Large Language Modelsbreakdown → | 72 |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 18 | |
| 11 | 0 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 7 | |
| 16 | 17 | |
| 17 | 0 | |
| 18 | 37 | |
| 19 | 12 | |
| 20 | Counting of Moving People in the Video using Neural Network System | 2 |
About Muhammad Saqib
Muhammad Saqib is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering, having authored 29 papers that have together received 432 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Anomaly Detection Techniques and Applications (7 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (210 citations), Aerospace Engineering (122 citations) and Health Informatics (6 citations). Muhammad Saqib has collaborated with scholars based in Australia, Pakistan and Saudi Arabia. Frequent co-authors include Michael Blumenstein, Nabin Sharma, Sultan Daud Khan, Michael Blumenstein, Chin‐Teng Lin, Naveed Akhtar, Saeed Anwar, Humza Naveed, Muhammad Usman and Shi Qiu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Biological Conservation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.